Bioinformatician (Metagenomics) at MDU-PHL. RNA-seq and Microbiome. Jakartan🇮🇩 in Melbourne🇦🇺

Melbourne, Victoria
Joined March 2012
Muhamad Fachrul, PhD retweeted
Ancestral and environmental diversity shape the immune landscape in Indonesia biorxiv.org/content/10.64898… #biorxiv_genomic
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Had a fantastic time in Carlsbad for CZI's Single-Cell Biology Annual Meeting, jam-packed with stellar science and wonderful people. As an ECR, it was especially great to connect with experts in the field and meet fellow Next-Gen Researcher awardees. Thank you @cziscience!!
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My thesis submission felt like a rather underwhelming end to my PhD, so it was nice to officially celebrate being #PhDone last week! #UnimelbAlumni
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Been a while since I updated here. Highlights: - Finished my PhD and got my degree March this year (@minouye271 @asalim_hint 🙏) - Joined @ee_reh_neh's lab as a postdoc (soon moving to @SVIResearch) - My 2nd manuscript is out now! nature.com/articles/s42003-0… github.com/fachrulm/RGStraP
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Thread of the preprint below: We've also performed validation on the Geuvadis dataset in the published version of the paper, demonstrating RGStraP's utility in capturing genetic structure across populations xitter.cf/F_Azr/status/157140017…
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Muhamad Fachrul, PhD retweeted
🎉 New paper! 🎉 How to estimate the carbon footprint of computations, in practice? With @minouye271, we discuss the different options in this Comment just out in @MethodsPrimers Full text: rdcu.be/c5KPJ And a lot of resources on green-algorithms.org 🌱
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Hope everyone had a good break. Just realized that the first paper from my PhD is finally published! 😅🎉 nature.com/articles/s41598-0… Huge thanks to my supervisors and co-authors for the guidance and push 🙏 @phylogeo @SJPamp @minouye271 @asalim_hint
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We'd like to acknowledge support from @CamBakerSGI, @UniMelbMDHS, @BakerResearchAu, and STRATAA study group for making this research possible! (9/9)
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Muhamad Fachrul, PhD retweeted
Pleased to announce our latest work is now live at Nature Metabolism (@natmetabolism), in which we show polygenic risk scores (PRS) can be used to identify novel and causal proteins underlying disease risk. nature.com/articles/s42255-0… Thread 1/9
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